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Learner Reviews & Feedback for Applied Social Network Analysis in Python by University of Michigan

4.6
stars
2,716 ratings

About the Course

This course will introduce the learner to network analysis through tutorials using the NetworkX library. The course begins with an understanding of what network analysis is and motivations for why we might model phenomena as networks. The second week introduces the concept of connectivity and network robustness. The third week will explore ways of measuring the importance or centrality of a node in a network. The final week will explore the evolution of networks over time and cover models of network generation and the link prediction problem. This course should be taken after: Introduction to Data Science in Python, Applied Plotting, Charting & Data Representation in Python, and Applied Machine Learning in Python....

Top reviews

JA

Nov 22, 2020

Great introductory course on graph theory using Networkx. The instructor goes through each algorithm with step-by-step examples, and gives relevant examples at the end of each topic.

SR

Mar 27, 2020

Very helpful courses. I was able to review and got much better at some things I already knew like data visualization and was able to explore some new areas like network analysis.

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326 - 350 of 456 Reviews for Applied Social Network Analysis in Python

By Light0617

•

Jun 1, 2019

great!!

By Lê N K H

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Nov 20, 2022

Great!

By Jeff D

•

Jan 13, 2021

Thanks

By Yoselin A

•

Sep 8, 2020

Great!

By Santosh R

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May 31, 2020

awsome

By ZHUOFU L

•

Mar 31, 2019

Great!

By SHREYASHI D

•

Sep 17, 2020

great

By Yash B

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May 24, 2020

great

By Muhammad M M

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Jan 26, 2020

Good!

By Deleted A

•

Dec 5, 2018

great

By Gerardo C

•

Nov 17, 2017

Nice!

By Maxerom24

•

Dec 25, 2021

Best

By WANG Y

•

Aug 28, 2021

good

By Ankit K G

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Oct 25, 2020

good

By Gudimetla v n r

•

Sep 20, 2020

nice

By Murugeswari P

•

Aug 13, 2020

good

By RAGHUVEER S D

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Jul 25, 2020

good

By Heshan L

•

Jul 17, 2020

good

By SUTHAHAR P

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Jun 2, 2020

Good

By Hewawitharanage A H

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Jan 31, 2020

good

By Parul S

•

Apr 20, 2019

good

By Akash G

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Mar 3, 2019

good

By Raymundo L L

•

Dec 7, 2025

OK!

By Deleted A

•

Aug 17, 2018

Wow

By Magdiel A

•

May 11, 2019

ok